Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/miaodx/roboclaws/report-performance-analysisnpx skills add MiaoDX/roboclaws --skill report-performance-analysisgit clone --depth 1 https://github.com/MiaoDX/roboclawsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/miaodx/roboclaws/report-performance-analysis)<a href="https://agentmods.dev/skills/miaodx/roboclaws/report-performance-analysis"><img src="https://agentmods.dev/badge/skills/miaodx/roboclaws/report-performance-analysis.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00083 | $0.00750 |
| Opus 5 | $0.00042 | $0.00375 |
| Sonnet 5 | $0.00017 | $0.00150 |
| Haiku 4.5 | $0.00008 | $0.00075 |
Grade A, and why
report-performance-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report Performance Analysis
Use this skill to analyze Roboclaws live-agent report performance honestly under unstable provider and network conditions.
Workflow
- Read
references/metric-contract.md. - Identify the run directory or comparison manifest.
- Run fixed scripts before answering:
- One run:
../../scripts/reports/extract_live_report_metrics.py <run_dir> - Two runs or manifest:
../../scripts/reports/compare_live_report_metrics.py ... - Calibration data:
../../scripts/reports/calibrate_model_latency.py ...
- One run:
- Answer from generated JSON packets. Do not scrape
report.html, raw prompt text, model text, full tool payloads, private evaluator truth, or compact continuation state.
Interpretation Rules
- Lead with quality and effect before wall time.
- Treat single-run output as diagnostic unless an explicit baseline or manifest is supplied.
- Missing token, duration, image, or calibration fields are unavailable, not zero.
- A faster candidate is not a speed win when quality regressed unless the comparison packet records an explicit waiver.
- Call out apples-to-oranges baselines, missing telemetry, uncalibrated normalized model time, and high model/SDK residual latency.
Common Commands
Extract one run:
.venv/bin/python scripts/reports/extract_live_report_metrics.py \
output/path/to/seed-7 \
--output output/report-performance-analysis/metrics.json \
--write-model-call-metrics
Compare two runs:
.venv/bin/python scripts/reports/compare_live_report_metrics.py \
--baseline-run-dir output/baseline/seed-7 \
--candidate-run-dir output/candidate/seed-7 \
--output output/report-performance-analysis/comparison.json
Compare with explicit normalized timing:
.venv/bin/python scripts/reports/calibrate_model_latency.py \
--output output/report-performance-analysis/calibration.json \
output/baseline/seed-7/model_call_metrics.jsonl \
output/candidate/seed-7/model_call_metrics.jsonl
.venv/bin/python scripts/reports/compare_live_report_metrics.py \
--baseline-run-dir output/baseline/seed-7 \
--candidate-run-dir output/candidate/seed-7 \
--calibration output/report-performance-analysis/calibration.json \
--output output/report-performance-analysis/normalized-comparison.json
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 90 lines · 83 tokens per session scan A ba2cf4c25cbe
report-performance-analysis is a skill published in the GitHub repository MiaoDX/roboclaws (6 stars, last pushed 3d ago), licensed MIT. It adds 83 tokens to every session and 750 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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